Methods and systems for electrical and/or optical signal based stress management

Abstract

The present disclosure provides automated methods and systems for implementing a pipeline involving the training and deployment of a predictive model for predicting a stress level of an individual and recommending mental exercises for the individual. An exemplary method includes identifying an individual with an unknown stress level, obtaining one or more electrical or optical signals associated with stress from the individual, predicting a stress level of the individual based on the one or more electrical or optical signals obtained from the individual, wherein the stress level of the individual is predicted by a predictive model, and generating a recommendation for the individual based on the predicted stress level, the recommendation including one or more mental exercises for relieving stress for the individual.

What is claimed is: 
     
         1 . A method comprising:
 identifying an individual with an unknown stress level;   obtaining one or more electrical or optical signals associated with stress from the individual;   predicting a stress level of the individual based on the one or more electrical or optical signals obtained from the individual, wherein the stress level of the individual is predicted by a predictive model; and   generating a recommendation for the individual based on the predicted stress level, the recommendation including one or more mental exercises for relieving stress for the individual.   
     
     
         2 . The method of  claim 1 , wherein the one or more electrical or optical signals include one or more of an electroencephalogram (EEG) signal, a photoplethysmography (PPG) signal, or a remote PPG (rPPG) signal. 
     
     
         3 . The method of  claim 1 , wherein the one or more electrical or optical signals include one or more signals obtained from a wearable device, the wearable device including one or more sensors configured to measure the one or more signals. 
     
     
         4 . The method of claim  4 , wherein the wearable device is a virtual reality (VR) device. 
     
     
         5 . The method of  claim 1 , wherein the one or more electrical or optical signals includes a signal obtained from a camera, the camera performing a face scan of the individual to obtain the signal. 
     
     
         6 . The method of  claim 1 , wherein the one or more mental exercises include one or more of an image, an audio, or a video. 
     
     
         7 . The method of  claim 1 , wherein the one or more mental exercises are played in a two-dimensional environment when the individual practices the one or more mental exercises. 
     
     
         8 . The method of  claim 1 , wherein the one or more mental exercises are played in a virtual reality environment when the individual practices the one or more mental exercises. 
     
     
         9 . The method of  claim 1 , wherein the one or more mental exercises include a mental exercise generated by a generative artificial intelligence (AI). 
     
     
         10 . The method of  claim 1 , further comprising:
 obtaining one or more tasks to be performed by the individual;   assessing complexity of the one or more tasks to be performed by the individual; and   creating a schedule for performing the one or more tasks by the individual based on the determined complexity of the one or more tasks and the determined stress level of the individual.   
     
     
         11 . The method of  claim 10 , further comprising:
 creating one or more large language models (LLMs), the LLMs configured to automatically output breakdowns for the one or more tasks based on the determined complexity of the one or more tasks and the determined stress level of the individual.   
     
     
         12 . The method of  claim 11 , wherein the one or more LLMs are configured to automatically generate a summary for the output breakdowns. 
     
     
         13 . The method of  claim 10 , wherein the predictive model is further trained to predict one or more of a focus level, a cognitive ability, an attention level, or an alertness level for the individual. 
     
     
         14 . The method of  claim 13 , wherein the schedule of the individual is created based on the predicted one or more of the stress level, focus level, cognitive ability, attention level, or alertness level for the individual. 
     
     
         15 . The method of  claim 1 , wherein the one or more recommendations include one or more physical exercises, diet, or nutrition for the individual. 
     
     
         16 . The method of  claim 1 , wherein the one or more recommendations include one or more classes for the individual, the one or more classes being arranged in sequence when more than one class is included in the recommendations. 
     
     
         17 . A system, comprising:
 a processor; and   a memory, coupled to the processor, configured to store executable instructions that, when executed by the processor, cause the processor to perform operations comprising:
 identifying an individual with an unknown stress level; 
 obtaining one or more electrical or optical signals associated with stress from the individual; 
 predicting a stress level of the individual based on the one or more electrical or optical signals obtained from the individual, wherein the stress level of the individual is predicted by a predictive model; and 
 generating a recommendation for the individual based on the predicted stress level, the recommendation including one or more mental exercises for relieving stress for the individual. 
   
     
     
         18 . The system of  claim 17 , wherein the one or more electrical or optical signals include one or more of an electroencephalogram (EEG) signal, a photoplethysmography (PPG) signal, or a remote PPG (rPPG) signal. 
     
     
         19 . The system of  claim 17 , wherein the one or more electrical or optical signals are obtained from one or more of a wearable device or a camera. 
     
     
         20 . The system of  claim 17 , wherein the operations further comprise:
 obtaining one or more tasks to be performed by the individual;   assessing complexity of the one or more tasks to be performed by the individual; and   creating a schedule for performing the one or more tasks by the individual based on the determined complexity of the one or more tasks and the determined stress level of the individual.